1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Evaluating the Generalizability of Foundation Models for Extreme Environmental Events: Case Study of California Wildfire PM2.5
Yongcan Huang, Li Jiang, Ze Yu Liu
Wildfire smoke events produce extreme PM concentrations that pose severe public health risks, yet forecasting rare, hazardous-level spikes remains a fundamental challenge.…
cs.CV2024★ 1 cited
Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation
Yunxiang Yang, Hao Zhen, Yongcan Huang +1
Existing deep learning-based object detection models perform well under daytime conditions but face significant challenges at night, primarily because they are predominantly traine…
cs.CL2024★ 1 cited
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference
Hao Zhen, Yucheng Shi, Yongcan Huang +2
Harnessing the power of Large Language Models (LLMs), this study explores the use of three state-of-the-art LLMs, specifically GPT-3.5-turbo, LLaMA3-8B, and LLaMA3-70B, for crash s…